改进导向下人工智能产业政策比较研究

政府主导推动人工智能产业发展已经成为全球趋势。基于比较公共政策理论，把政策改进作为人工智能产业政策比较研究的目的导向，有助于为政策制定部门进一步完善现行政策文本具体内容提供有益参考。根据政策比较研究一般范式和逻辑，将政策改进导向下的比较分析框架细分为五大模块，对每个模块分别提出基本要求，即政策比较文本先进性、政策比较主体标杆性、政策比较方法科学性、政策比较结果分析因果性、政策比较对策建议适宜性。将人工智能产业政策比较研究现有成果按照基本要求进行系统梳理，研判对每个模块基本要求的满足情况。研究发现，现有成果均不能充分满足各个模块相应的基本要求。鉴于此，针对每个模块提出了下一步改进的主要研究方向。

Improvement-oriented Comparative Studies of Artificial Intelligence Industrial Policies

It is becoming a global trend to promote development of artificial intelligence industry by government. Based on comparative public policy theory, taking policy improvement as the oriented-purpose of comparative studies of artificial intelligence industrial policies will help policy-making departments improve the specific contents of the current policy text further. According to the policy comparative study general paradigm and logic, the comparative analysis framework guided by policy improvement is divided into five modules ,and the basic requirements are proposed, namely, policy comparison texts should be advanced, subjects should be benchmark, methods should be scientific, results should be causal, suggestions should be suitable. Each module of the existing comparative studies on artificial intelligence industrial policies whether meets requirements or not is judged. It is found that the existing studies can not fully meet the corresponding requirements of each module. In view of this, the main study directions of each module for further improvement are put forward.